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Code Issues Packages Projects Releases Wiki Activity

build and docs cleanup

pull/233/head
Vladimir Mandic 2021-10-29 15:55:20 -04:00
parent b7f3b580bc
commit 5a16b5081d
23 changed files with 841 additions and 1083 deletions
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7
CHANGELOG.md
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@ -9,11 +9,12 @@
## Changelog ## Changelog
### **HEAD -> main** 2021/10/28 mandic00@live.com
### **2.4.3** 2021/10/28 mandic00@live.com ### **2.4.3** 2021/10/28 mandic00@live.com
- additional human.performance counters
### **origin/main** 2021/10/27 mandic00@live.com
### **2.4.2** 2021/10/27 mandic00@live.com ### **2.4.2** 2021/10/27 mandic00@live.com

4
README.md
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@ -58,8 +58,8 @@ Check out [**Live Demo**](https://vladmandic.github.io/human/demo/index.html) ap
- [**Home**](https://github.com/vladmandic/human/wiki) - [**Home**](https://github.com/vladmandic/human/wiki)
- [**Installation**](https://github.com/vladmandic/human/wiki/Install) - [**Installation**](https://github.com/vladmandic/human/wiki/Install)
- [**Usage & Functions**](https://github.com/vladmandic/human/wiki/Usage) - [**Usage & Functions**](https://github.com/vladmandic/human/wiki/Usage)
- [**Configuration Details**](https://github.com/vladmandic/human/wiki/Configuration) - [**Configuration Details**](https://github.com/vladmandic/human/wiki/Config)
- [**Output Details**](https://github.com/vladmandic/human/wiki/Outputs) - [**Result Details**](https://github.com/vladmandic/human/wiki/Result)
- [**Caching & Smoothing**](https://github.com/vladmandic/human/wiki/Caching) - [**Caching & Smoothing**](https://github.com/vladmandic/human/wiki/Caching)
- [**Face Recognition & Face Description**](https://github.com/vladmandic/human/wiki/Embedding) - [**Face Recognition & Face Description**](https://github.com/vladmandic/human/wiki/Embedding)
- [**Gesture Recognition**](https://github.com/vladmandic/human/wiki/Gesture) - [**Gesture Recognition**](https://github.com/vladmandic/human/wiki/Gesture)

17
TODO.md
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@ -14,21 +14,20 @@
- TFLite Models: <https://js.tensorflow.org/api_tflite/0.0.1-alpha.4/> - TFLite Models: <https://js.tensorflow.org/api_tflite/0.0.1-alpha.4/>
- Body segmentation: `robust-video-matting` - Body segmentation: `robust-video-matting`
<br><hr><br>
## Known Issues
### Type Definitions
- `tfjs.esm.d.ts` missing namespace `OptimizerConstructors`
- exports from `match` are marked as private
#### WebGPU #### WebGPU
Experimental support only until support is officially added in Chromium Experimental support only until support is officially added in Chromium
- Performance issues: - Performance issues:
<https://github.com/tensorflow/tfjs/issues/5689> <https://github.com/tensorflow/tfjs/issues/5689>
<br><hr><br>
## Known Issues
- `tfjs.esm.d.ts` missing namespace `OptimizerConstructors`
- exports from `match` are marked as private
<br>
### Face Detection ### Face Detection
Enhanced rotation correction for face detection is not working in NodeJS due to missing kernel op in TFJS Enhanced rotation correction for face detection is not working in NodeJS due to missing kernel op in TFJS

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assets/sample-persons.json
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assets/sample-result.json
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6
demo/typescript/index.js
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@ -44,9 +44,9 @@ async function webCam() {
dom.canvas.width = dom.video.videoWidth; dom.canvas.width = dom.video.videoWidth;
dom.canvas.height = dom.video.videoHeight; dom.canvas.height = dom.video.videoHeight;
const track = stream.getVideoTracks()[0]; const track = stream.getVideoTracks()[0];
const capabilities = track.getCapabilities(); const capabilities = track.getCapabilities ? track.getCapabilities() : "";
const settings = track.getSettings(); const settings = track.getSettings ? track.getSettings() : "";
const constraints = track.getConstraints(); const constraints = track.getConstraints ? track.getConstraints() : "";
log("video:", dom.video.videoWidth, dom.video.videoHeight, track.label, { stream, track, settings, constraints, capabilities }); log("video:", dom.video.videoWidth, dom.video.videoHeight, track.label, { stream, track, settings, constraints, capabilities });
dom.canvas.onclick = () => { dom.canvas.onclick = () => {
if (dom.video.paused) if (dom.video.paused)

4
demo/typescript/index.js.map
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@ -1,7 +1,7 @@
{ {
"version": 3, "version": 3,
"sources": ["index.ts"], "sources": ["index.ts"],
"sourcesContent": ["/**\n * Human demo for browsers\n * @default Human Library\n * @summary <https://github.com/vladmandic/human>\n * @author <https://github.com/vladmandic>\n * @copyright <https://github.com/vladmandic>\n * @license MIT\n */\n\nimport Human from '../../dist/human.custom.esm.js'; // equivalent of @vladmandic/human\n\nconst config = {\n modelBasePath: '../../models',\n backend: 'humangl',\n async: true,\n};\n\nconst human = new Human(config);\nlet result;\n\nconst dom = {\n video: document.getElementById('video') as HTMLVideoElement,\n canvas: document.getElementById('canvas') as HTMLCanvasElement,\n log: document.getElementById('log') as HTMLPreElement,\n fps: document.getElementById('status') as HTMLPreElement,\n perf: document.getElementById('performance') as HTMLDivElement,\n};\n\nconst fps = { detect: 0, draw: 0 };\n\nconst log = (...msg) => {\n dom.log.innerText += msg.join(' ') + '\\n';\n // eslint-disable-next-line no-console\n console.log(...msg);\n};\nconst status = (msg) => {\n dom.fps.innerText = msg;\n};\nconst perf = (msg) => {\n dom.perf.innerText = 'performance: ' + JSON.stringify(msg).replace(/\"|{|}/g, '').replace(/,/g, ' | ');\n};\n\nasync function webCam() {\n status('starting webcam...');\n const options = { audio: false, video: { facingMode: 'user', resizeMode: 'none', width: { ideal: document.body.clientWidth } } };\n const stream: MediaStream = await navigator.mediaDevices.getUserMedia(options);\n const ready = new Promise((resolve) => { dom.video.onloadeddata = () => resolve(true); });\n dom.video.srcObject = stream;\n dom.video.play();\n await ready;\n dom.canvas.width = dom.video.videoWidth;\n dom.canvas.height = dom.video.videoHeight;\n const track: MediaStreamTrack = stream.getVideoTracks()[0];\n const capabilities: MediaTrackCapabilities = track.getCapabilities();\n const settings: MediaTrackSettings = track.getSettings();\n const constraints: MediaTrackConstraints = track.getConstraints();\n log('video:', dom.video.videoWidth, dom.video.videoHeight, track.label, { stream, track, settings, constraints, capabilities });\n dom.canvas.onclick = () => {\n if (dom.video.paused) dom.video.play();\n else dom.video.pause();\n };\n}\n\nasync function detectionLoop() {\n const t0 = human.now();\n if (!dom.video.paused) {\n result = await human.detect(dom.video);\n }\n const t1 = human.now();\n fps.detect = 1000 / (t1 - t0);\n requestAnimationFrame(detectionLoop);\n}\n\nasync function drawLoop() {\n const t0 = human.now();\n if (!dom.video.paused) {\n const interpolated = await human.next(result);\n await human.draw.canvas(dom.video, dom.canvas);\n await human.draw.all(dom.canvas, interpolated);\n perf(interpolated.performance);\n }\n const t1 = human.now();\n fps.draw = 1000 / (t1 - t0);\n status(dom.video.paused ? 'paused' : `fps: ${fps.detect.toFixed(1).padStart(5, ' ')} detect / ${fps.draw.toFixed(1).padStart(5, ' ')} draw`);\n requestAnimationFrame(drawLoop);\n}\n\nasync function main() {\n log('human version:', human.version, 'tfjs:', human.tf.version_core);\n log('platform:', human.env.platform, 'agent:', human.env.agent);\n human.env.perfadd = true;\n status('loading...');\n await human.load();\n status('initializing...');\n log('backend:', human.tf.getBackend(), 'available:', human.env.backends);\n await human.warmup();\n await webCam();\n await detectionLoop();\n await drawLoop();\n}\n\nwindow.onload = main;\n"], "sourcesContent": ["/**\n * Human demo for browsers\n * @default Human Library\n * @summary <https://github.com/vladmandic/human>\n * @author <https://github.com/vladmandic>\n * @copyright <https://github.com/vladmandic>\n * @license MIT\n */\n\nimport Human from '../../dist/human.custom.esm.js'; // equivalent of @vladmandic/human\n\nconst config = {\n modelBasePath: '../../models',\n backend: 'humangl',\n async: true,\n};\n\nconst human = new Human(config);\nlet result;\n\nconst dom = {\n video: document.getElementById('video') as HTMLVideoElement,\n canvas: document.getElementById('canvas') as HTMLCanvasElement,\n log: document.getElementById('log') as HTMLPreElement,\n fps: document.getElementById('status') as HTMLPreElement,\n perf: document.getElementById('performance') as HTMLDivElement,\n};\n\nconst fps = { detect: 0, draw: 0 };\n\nconst log = (...msg) => {\n dom.log.innerText += msg.join(' ') + '\\n';\n // eslint-disable-next-line no-console\n console.log(...msg);\n};\nconst status = (msg) => {\n dom.fps.innerText = msg;\n};\nconst perf = (msg) => {\n dom.perf.innerText = 'performance: ' + JSON.stringify(msg).replace(/\"|{|}/g, '').replace(/,/g, ' | ');\n};\n\nasync function webCam() {\n status('starting webcam...');\n const options = { audio: false, video: { facingMode: 'user', resizeMode: 'none', width: { ideal: document.body.clientWidth } } };\n const stream: MediaStream = await navigator.mediaDevices.getUserMedia(options);\n const ready = new Promise((resolve) => { dom.video.onloadeddata = () => resolve(true); });\n dom.video.srcObject = stream;\n dom.video.play();\n await ready;\n dom.canvas.width = dom.video.videoWidth;\n dom.canvas.height = dom.video.videoHeight;\n const track: MediaStreamTrack = stream.getVideoTracks()[0];\n const capabilities: MediaTrackCapabilities | string = track.getCapabilities ? track.getCapabilities() : '';\n const settings: MediaTrackSettings | string = track.getSettings ? track.getSettings() : '';\n const constraints: MediaTrackConstraints | string = track.getConstraints ? track.getConstraints() : '';\n log('video:', dom.video.videoWidth, dom.video.videoHeight, track.label, { stream, track, settings, constraints, capabilities });\n dom.canvas.onclick = () => {\n if (dom.video.paused) dom.video.play();\n else dom.video.pause();\n };\n}\n\nasync function detectionLoop() {\n const t0 = human.now();\n if (!dom.video.paused) {\n result = await human.detect(dom.video);\n }\n const t1 = human.now();\n fps.detect = 1000 / (t1 - t0);\n requestAnimationFrame(detectionLoop);\n}\n\nasync function drawLoop() {\n const t0 = human.now();\n if (!dom.video.paused) {\n const interpolated = await human.next(result);\n await human.draw.canvas(dom.video, dom.canvas);\n await human.draw.all(dom.canvas, interpolated);\n perf(interpolated.performance);\n }\n const t1 = human.now();\n fps.draw = 1000 / (t1 - t0);\n status(dom.video.paused ? 'paused' : `fps: ${fps.detect.toFixed(1).padStart(5, ' ')} detect / ${fps.draw.toFixed(1).padStart(5, ' ')} draw`);\n requestAnimationFrame(drawLoop);\n}\n\nasync function main() {\n log('human version:', human.version, 'tfjs:', human.tf.version_core);\n log('platform:', human.env.platform, 'agent:', human.env.agent);\n human.env.perfadd = true;\n status('loading...');\n await human.load();\n status('initializing...');\n log('backend:', human.tf.getBackend(), 'available:', human.env.backends);\n await human.warmup();\n await webCam();\n await detectionLoop();\n await drawLoop();\n}\n\nwindow.onload = main;\n"],
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134
dist/human.custom.esm.js vendored
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@ -423,6 +423,7 @@ __export(tfjs_esm_exports, {
booleanMaskAsync: () => booleanMaskAsync, booleanMaskAsync: () => booleanMaskAsync,
broadcastArgs: () => broadcastArgs, broadcastArgs: () => broadcastArgs,
broadcastTo: () => broadcastTo, broadcastTo: () => broadcastTo,
broadcast_util: () => broadcast_util_exports,
browser: () => browser_exports, browser: () => browser_exports,
buffer: () => buffer, buffer: () => buffer,
callbacks: () => callbacks, callbacks: () => callbacks,
@ -9686,6 +9687,62 @@ function confusionMatrix_(labels2, predictions, numClasses) {
return cast(product, "int32"); return cast(product, "int32");
} }
var confusionMatrix = op({ confusionMatrix_ }); var confusionMatrix = op({ confusionMatrix_ });
var broadcast_util_exports = {};
__export2(broadcast_util_exports, {
assertAndGetBroadcastShape: () => assertAndGetBroadcastShape,
getBroadcastDims: () => getBroadcastDims,
getReductionAxes: () => getReductionAxes
});
function getBroadcastDims(inShape, outShape) {
const inRank = inShape.length;
const dims = [];
for (let i = 0; i < inRank; i++) {
const dim = inRank - 1 - i;
const a = inShape[dim] || 1;
const b = outShape[outShape.length - 1 - i] || 1;
if (b > 1 && a === 1) {
dims.unshift(dim);
}
}
return dims;
}
function getReductionAxes(inShape, outShape) {
const result = [];
for (let i = 0; i < outShape.length; i++) {
const inDim = inShape[inShape.length - i - 1];
const outAxis = outShape.length - i - 1;
const outDim = outShape[outAxis];
if (inDim == null || inDim === 1 && outDim > 1) {
result.unshift(outAxis);
}
}
return result;
}
function assertAndGetBroadcastShape(shapeA, shapeB) {
const result = [];
const l = Math.max(shapeA.length, shapeB.length);
for (let i = 0; i < l; i++) {
let a = shapeA[shapeA.length - i - 1];
if (a == null) {
a = 1;
}
let b = shapeB[shapeB.length - i - 1];
if (b == null) {
b = 1;
}
if (a === 1) {
result.unshift(b);
} else if (b === 1) {
result.unshift(a);
} else if (a !== b) {
const errMsg = `Operands could not be broadcast together with shapes ${shapeA} and ${shapeB}.`;
throw Error(errMsg);
} else {
result.unshift(a);
}
}
return result;
}
var browser_exports = {}; var browser_exports = {};
__export2(browser_exports, { __export2(browser_exports, {
fromPixels: () => fromPixels, fromPixels: () => fromPixels,
@ -11653,56 +11710,6 @@ function dilation2d_(x, filter, strides, pad3, dilations = [1, 1], dataFormat =
return res; return res;
} }
var dilation2d = op({ dilation2d_ }); var dilation2d = op({ dilation2d_ });
function getBroadcastDims(inShape, outShape) {
const inRank = inShape.length;
const dims = [];
for (let i = 0; i < inRank; i++) {
const dim = inRank - 1 - i;
const a = inShape[dim] || 1;
const b = outShape[outShape.length - 1 - i] || 1;
if (b > 1 && a === 1) {
dims.unshift(dim);
}
}
return dims;
}
function getReductionAxes(inShape, outShape) {
const result = [];
for (let i = 0; i < outShape.length; i++) {
const inDim = inShape[inShape.length - i - 1];
const outAxis = outShape.length - i - 1;
const outDim = outShape[outAxis];
if (inDim == null || inDim === 1 && outDim > 1) {
result.unshift(outAxis);
}
}
return result;
}
function assertAndGetBroadcastShape(shapeA, shapeB) {
const result = [];
const l = Math.max(shapeA.length, shapeB.length);
for (let i = 0; i < l; i++) {
let a = shapeA[shapeA.length - i - 1];
if (a == null) {
a = 1;
}
let b = shapeB[shapeB.length - i - 1];
if (b == null) {
b = 1;
}
if (a === 1) {
result.unshift(b);
} else if (b === 1) {
result.unshift(a);
} else if (a !== b) {
const errMsg = `Operands could not be broadcast together with shapes ${shapeA} and ${shapeB}.`;
throw Error(errMsg);
} else {
result.unshift(a);
}
}
return result;
}
function equal_(a, b) { function equal_(a, b) {
let $a = convertToTensor(a, "a", "equal", "string_or_numeric"); let $a = convertToTensor(a, "a", "equal", "string_or_numeric");
let $b = convertToTensor(b, "b", "equal", "string_or_numeric"); let $b = convertToTensor(b, "b", "equal", "string_or_numeric");
@ -13860,10 +13867,9 @@ function fusedMatMul_({
const outerDimsB = $b.shape.slice(0, -2); const outerDimsB = $b.shape.slice(0, -2);
const batchDimA = sizeFromShape(outerDimsA); const batchDimA = sizeFromShape(outerDimsA);
const batchDimB = sizeFromShape(outerDimsB); const batchDimB = sizeFromShape(outerDimsB);
assert($a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank, () => `Error in fused matMul: inputs must have the same rank of at least 2, got ranks ${$a.rank} and ${$b.rank}.`);
assert(arraysEqual(outerDimsA, outerDimsB), () => `Error in fused matMul: outer dimensions (${outerDimsA}) and (${outerDimsB}) of Tensors with shapes ${$a.shape} and ${$b.shape} must match.`);
assert(innerShapeA === innerShapeB, () => `Error in fused matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${$a.shape} and ${$b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`); assert(innerShapeA === innerShapeB, () => `Error in fused matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${$a.shape} and ${$b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]); const outShapeOuterDims = assertAndGetBroadcastShape($a.shape.slice(0, -2), $b.shape.slice(0, -2));
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
const a3D = transposeA ? reshape($a, [batchDimA, innerShapeA, outerShapeA]) : reshape($a, [batchDimA, outerShapeA, innerShapeA]); const a3D = transposeA ? reshape($a, [batchDimA, innerShapeA, outerShapeA]) : reshape($a, [batchDimA, outerShapeA, innerShapeA]);
const b3D = transposeB ? reshape($b, [batchDimB, outerShapeB, innerShapeB]) : reshape($b, [batchDimB, innerShapeB, outerShapeB]); const b3D = transposeB ? reshape($b, [batchDimB, outerShapeB, innerShapeB]) : reshape($b, [batchDimB, innerShapeB, outerShapeB]);
let $bias; let $bias;
@ -41023,9 +41029,7 @@ function batchMatMul(args) {
const outerDimsB = b.shape.slice(0, -2); const outerDimsB = b.shape.slice(0, -2);
const batchDimA = util_exports.sizeFromShape(outerDimsA); const batchDimA = util_exports.sizeFromShape(outerDimsA);
const batchDimB = util_exports.sizeFromShape(outerDimsB); const batchDimB = util_exports.sizeFromShape(outerDimsB);
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1; const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]); const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`); util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA]; const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
@ -51273,9 +51277,7 @@ function batchMatMulImpl({
const outerDimsB = b.shape.slice(0, -2); const outerDimsB = b.shape.slice(0, -2);
const batchDimA = util_exports.sizeFromShape(outerDimsA); const batchDimA = util_exports.sizeFromShape(outerDimsA);
const batchDimB = util_exports.sizeFromShape(outerDimsB); const batchDimB = util_exports.sizeFromShape(outerDimsB);
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1; const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]); const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`); util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA]; const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
@ -61258,9 +61260,7 @@ function batchMatMulImpl2({
const outerDimsB = b.shape.slice(0, -2); const outerDimsB = b.shape.slice(0, -2);
const batchDimA = util_exports.sizeFromShape(outerDimsA); const batchDimA = util_exports.sizeFromShape(outerDimsA);
const batchDimB = util_exports.sizeFromShape(outerDimsB); const batchDimB = util_exports.sizeFromShape(outerDimsB);
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1; const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]); const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`); util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA]; const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
@ -67492,8 +67492,8 @@ function fusedBatchMatMul(args) {
} }
const leftDim = transposeA ? a.shape[2] : a.shape[1]; const leftDim = transposeA ? a.shape[2] : a.shape[1];
const rightDim = transposeB ? b.shape[1] : b.shape[2]; const rightDim = transposeB ? b.shape[1] : b.shape[2];
const batchDim = a.shape[0]; const batchDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
const out = backend22.makeOutput([batchDim, leftDim, rightDim], a.dtype); const out = backend22.makeOutput([...batchDims, leftDim, rightDim], a.dtype);
const outId = backend22.dataIdMap.get(out.dataId).id; const outId = backend22.dataIdMap.get(out.dataId).id;
const aShapeBytes = new Uint8Array(new Int32Array(a.shape).buffer); const aShapeBytes = new Uint8Array(new Int32Array(a.shape).buffer);
const bShapeBytes = new Uint8Array(new Int32Array(b.shape).buffer); const bShapeBytes = new Uint8Array(new Int32Array(b.shape).buffer);
@ -67936,9 +67936,7 @@ function batchMatMul4(args) {
const outerDimsB = b.shape.slice(0, -2); const outerDimsB = b.shape.slice(0, -2);
const batchDimA = util_exports.sizeFromShape(outerDimsA); const batchDimA = util_exports.sizeFromShape(outerDimsA);
const batchDimB = util_exports.sizeFromShape(outerDimsB); const batchDimB = util_exports.sizeFromShape(outerDimsB);
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1; const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]); const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`); util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA]; const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
@ -70572,7 +70570,7 @@ registerBackend("wasm", async () => {
const { wasm } = await init(); const { wasm } = await init();
return new BackendWasm(wasm); return new BackendWasm(wasm);
}, WASM_PRIORITY); }, WASM_PRIORITY);
var externalVersion = "3.11.0-20211028"; var externalVersion = "3.11.0-20211029";
var version8 = { var version8 = {
tfjs: externalVersion, tfjs: externalVersion,
"tfjs-core": externalVersion, "tfjs-core": externalVersion,

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@ -9006,6 +9006,62 @@ function confusionMatrix_(labels, predictions, numClasses) {
return cast(product, "int32"); return cast(product, "int32");
} }
var confusionMatrix = op({ confusionMatrix_ }); var confusionMatrix = op({ confusionMatrix_ });
var broadcast_util_exports = {};
__export(broadcast_util_exports, {
assertAndGetBroadcastShape: () => assertAndGetBroadcastShape,
getBroadcastDims: () => getBroadcastDims,
getReductionAxes: () => getReductionAxes
});
function getBroadcastDims(inShape, outShape) {
const inRank = inShape.length;
const dims = [];
for (let i = 0; i < inRank; i++) {
const dim = inRank - 1 - i;
const a = inShape[dim] || 1;
const b = outShape[outShape.length - 1 - i] || 1;
if (b > 1 && a === 1) {
dims.unshift(dim);
}
}
return dims;
}
function getReductionAxes(inShape, outShape) {
const result = [];
for (let i = 0; i < outShape.length; i++) {
const inDim = inShape[inShape.length - i - 1];
const outAxis = outShape.length - i - 1;
const outDim = outShape[outAxis];
if (inDim == null || inDim === 1 && outDim > 1) {
result.unshift(outAxis);
}
}
return result;
}
function assertAndGetBroadcastShape(shapeA, shapeB) {
const result = [];
const l = Math.max(shapeA.length, shapeB.length);
for (let i = 0; i < l; i++) {
let a = shapeA[shapeA.length - i - 1];
if (a == null) {
a = 1;
}
let b = shapeB[shapeB.length - i - 1];
if (b == null) {
b = 1;
}
if (a === 1) {
result.unshift(b);
} else if (b === 1) {
result.unshift(a);
} else if (a !== b) {
const errMsg = `Operands could not be broadcast together with shapes ${shapeA} and ${shapeB}.`;
throw Error(errMsg);
} else {
result.unshift(a);
}
}
return result;
}
var browser_exports = {}; var browser_exports = {};
__export(browser_exports, { __export(browser_exports, {
fromPixels: () => fromPixels, fromPixels: () => fromPixels,
@ -10973,56 +11029,6 @@ function dilation2d_(x, filter, strides, pad3, dilations = [1, 1], dataFormat =
return res; return res;
} }
var dilation2d = op({ dilation2d_ }); var dilation2d = op({ dilation2d_ });
function getBroadcastDims(inShape, outShape) {
const inRank = inShape.length;
const dims = [];
for (let i = 0; i < inRank; i++) {
const dim = inRank - 1 - i;
const a = inShape[dim] || 1;
const b = outShape[outShape.length - 1 - i] || 1;
if (b > 1 && a === 1) {
dims.unshift(dim);
}
}
return dims;
}
function getReductionAxes(inShape, outShape) {
const result = [];
for (let i = 0; i < outShape.length; i++) {
const inDim = inShape[inShape.length - i - 1];
const outAxis = outShape.length - i - 1;
const outDim = outShape[outAxis];
if (inDim == null || inDim === 1 && outDim > 1) {
result.unshift(outAxis);
}
}
return result;
}
function assertAndGetBroadcastShape(shapeA, shapeB) {
const result = [];
const l = Math.max(shapeA.length, shapeB.length);
for (let i = 0; i < l; i++) {
let a = shapeA[shapeA.length - i - 1];
if (a == null) {
a = 1;
}
let b = shapeB[shapeB.length - i - 1];
if (b == null) {
b = 1;
}
if (a === 1) {
result.unshift(b);
} else if (b === 1) {
result.unshift(a);
} else if (a !== b) {
const errMsg = `Operands could not be broadcast together with shapes ${shapeA} and ${shapeB}.`;
throw Error(errMsg);
} else {
result.unshift(a);
}
}
return result;
}
function equal_(a, b) { function equal_(a, b) {
let $a = convertToTensor(a, "a", "equal", "string_or_numeric"); let $a = convertToTensor(a, "a", "equal", "string_or_numeric");
let $b = convertToTensor(b, "b", "equal", "string_or_numeric"); let $b = convertToTensor(b, "b", "equal", "string_or_numeric");
@ -13180,10 +13186,9 @@ function fusedMatMul_({
const outerDimsB = $b.shape.slice(0, -2); const outerDimsB = $b.shape.slice(0, -2);
const batchDimA = sizeFromShape(outerDimsA); const batchDimA = sizeFromShape(outerDimsA);
const batchDimB = sizeFromShape(outerDimsB); const batchDimB = sizeFromShape(outerDimsB);
assert($a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank, () => `Error in fused matMul: inputs must have the same rank of at least 2, got ranks ${$a.rank} and ${$b.rank}.`);
assert(arraysEqual(outerDimsA, outerDimsB), () => `Error in fused matMul: outer dimensions (${outerDimsA}) and (${outerDimsB}) of Tensors with shapes ${$a.shape} and ${$b.shape} must match.`);
assert(innerShapeA === innerShapeB, () => `Error in fused matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${$a.shape} and ${$b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`); assert(innerShapeA === innerShapeB, () => `Error in fused matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${$a.shape} and ${$b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]); const outShapeOuterDims = assertAndGetBroadcastShape($a.shape.slice(0, -2), $b.shape.slice(0, -2));
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
const a3D = transposeA ? reshape($a, [batchDimA, innerShapeA, outerShapeA]) : reshape($a, [batchDimA, outerShapeA, innerShapeA]); const a3D = transposeA ? reshape($a, [batchDimA, innerShapeA, outerShapeA]) : reshape($a, [batchDimA, outerShapeA, innerShapeA]);
const b3D = transposeB ? reshape($b, [batchDimB, outerShapeB, innerShapeB]) : reshape($b, [batchDimB, innerShapeB, outerShapeB]); const b3D = transposeB ? reshape($b, [batchDimB, outerShapeB, innerShapeB]) : reshape($b, [batchDimB, innerShapeB, outerShapeB]);
let $bias; let $bias;
@ -40343,9 +40348,7 @@ function batchMatMul(args) {
const outerDimsB = b.shape.slice(0, -2); const outerDimsB = b.shape.slice(0, -2);
const batchDimA = util_exports.sizeFromShape(outerDimsA); const batchDimA = util_exports.sizeFromShape(outerDimsA);
const batchDimB = util_exports.sizeFromShape(outerDimsB); const batchDimB = util_exports.sizeFromShape(outerDimsB);
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1; const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]); const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`); util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA]; const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
@ -50593,9 +50596,7 @@ function batchMatMulImpl({
const outerDimsB = b.shape.slice(0, -2); const outerDimsB = b.shape.slice(0, -2);
const batchDimA = util_exports.sizeFromShape(outerDimsA); const batchDimA = util_exports.sizeFromShape(outerDimsA);
const batchDimB = util_exports.sizeFromShape(outerDimsB); const batchDimB = util_exports.sizeFromShape(outerDimsB);
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1; const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]); const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`); util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA]; const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
@ -60578,9 +60579,7 @@ function batchMatMulImpl2({
const outerDimsB = b.shape.slice(0, -2); const outerDimsB = b.shape.slice(0, -2);
const batchDimA = util_exports.sizeFromShape(outerDimsA); const batchDimA = util_exports.sizeFromShape(outerDimsA);
const batchDimB = util_exports.sizeFromShape(outerDimsB); const batchDimB = util_exports.sizeFromShape(outerDimsB);
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1; const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]); const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`); util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA]; const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
@ -66812,8 +66811,8 @@ function fusedBatchMatMul(args) {
} }
const leftDim = transposeA ? a.shape[2] : a.shape[1]; const leftDim = transposeA ? a.shape[2] : a.shape[1];
const rightDim = transposeB ? b.shape[1] : b.shape[2]; const rightDim = transposeB ? b.shape[1] : b.shape[2];
const batchDim = a.shape[0]; const batchDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
const out = backend2.makeOutput([batchDim, leftDim, rightDim], a.dtype); const out = backend2.makeOutput([...batchDims, leftDim, rightDim], a.dtype);
const outId = backend2.dataIdMap.get(out.dataId).id; const outId = backend2.dataIdMap.get(out.dataId).id;
const aShapeBytes = new Uint8Array(new Int32Array(a.shape).buffer); const aShapeBytes = new Uint8Array(new Int32Array(a.shape).buffer);
const bShapeBytes = new Uint8Array(new Int32Array(b.shape).buffer); const bShapeBytes = new Uint8Array(new Int32Array(b.shape).buffer);
@ -67256,9 +67255,7 @@ function batchMatMul4(args) {
const outerDimsB = b.shape.slice(0, -2); const outerDimsB = b.shape.slice(0, -2);
const batchDimA = util_exports.sizeFromShape(outerDimsA); const batchDimA = util_exports.sizeFromShape(outerDimsA);
const batchDimB = util_exports.sizeFromShape(outerDimsB); const batchDimB = util_exports.sizeFromShape(outerDimsB);
const batchDimsCompatible = batchDimA === batchDimB || batchDimA === 1 || batchDimB === 1; const outShapeOuterDims = broadcast_util_exports.assertAndGetBroadcastShape(a.shape.slice(0, -2), b.shape.slice(0, -2));
util_exports.assert(aRank >= 2 && bRank >= 2 && batchDimsCompatible, () => `Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${outerDimsA}) and (${outerDimsB}).`);
const outShapeOuterDims = batchDimA > batchDimB ? a.shape.slice(0, -2) : b.shape.slice(0, -2);
const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]); const outShape = outShapeOuterDims.concat([outerShapeA, outerShapeB]);
util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`); util_exports.assert(innerShapeA === innerShapeB, () => `Error in matMul: inner shapes (${innerShapeA}) and (${innerShapeB}) of Tensors with shapes ${a.shape} and ${b.shape} and transposeA=${transposeA} and transposeB=${transposeB} must match.`);
const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA]; const a3dShape = transposeA ? [batchDimA, innerShapeA, outerShapeA] : [batchDimA, outerShapeA, innerShapeA];
@ -69892,7 +69889,7 @@ registerBackend("wasm", async () => {
const { wasm } = await init(); const { wasm } = await init();
return new BackendWasm(wasm); return new BackendWasm(wasm);
}, WASM_PRIORITY); }, WASM_PRIORITY);
var externalVersion = "3.11.0-20211028"; var externalVersion = "3.11.0-20211029";
var version8 = { var version8 = {
tfjs: externalVersion, tfjs: externalVersion,
"tfjs-core": externalVersion, "tfjs-core": externalVersion,
@ -70137,6 +70134,7 @@ export {
booleanMaskAsync, booleanMaskAsync,
broadcastArgs, broadcastArgs,
broadcastTo, broadcastTo,
broadcast_util_exports as broadcast_util,
browser_exports as browser, browser_exports as browser,
buffer, buffer,
callbacks, callbacks,

10
package.json
View File

@ -55,6 +55,7 @@
"tensorflow" "tensorflow"
], ],
"devDependencies": { "devDependencies": {
"@tensorflow/tfjs": "^3.11.0",
"@tensorflow/tfjs-backend-cpu": "^3.11.0", "@tensorflow/tfjs-backend-cpu": "^3.11.0",
"@tensorflow/tfjs-backend-wasm": "^3.11.0", "@tensorflow/tfjs-backend-wasm": "^3.11.0",
"@tensorflow/tfjs-backend-webgl": "^3.11.0", "@tensorflow/tfjs-backend-webgl": "^3.11.0",
@ -63,9 +64,8 @@
"@tensorflow/tfjs-core": "^3.11.0", "@tensorflow/tfjs-core": "^3.11.0",
"@tensorflow/tfjs-data": "^3.11.0", "@tensorflow/tfjs-data": "^3.11.0",
"@tensorflow/tfjs-layers": "^3.11.0", "@tensorflow/tfjs-layers": "^3.11.0",
"@tensorflow/tfjs-node-gpu": "^3.11.0",
"@tensorflow/tfjs-node": "^3.11.0", "@tensorflow/tfjs-node": "^3.11.0",
"@tensorflow/tfjs": "^3.11.0", "@tensorflow/tfjs-node-gpu": "^3.11.0",
"@types/node": "^16.11.6", "@types/node": "^16.11.6",
"@typescript-eslint/eslint-plugin": "^5.2.0", "@typescript-eslint/eslint-plugin": "^5.2.0",
"@typescript-eslint/parser": "^5.2.0", "@typescript-eslint/parser": "^5.2.0",
@ -74,21 +74,19 @@
"canvas": "^2.8.0", "canvas": "^2.8.0",
"dayjs": "^1.10.7", "dayjs": "^1.10.7",
"esbuild": "^0.13.10", "esbuild": "^0.13.10",
"eslint": "8.1.0",
"eslint-config-airbnb-base": "^14.2.1", "eslint-config-airbnb-base": "^14.2.1",
"eslint-plugin-html": "^6.2.0", "eslint-plugin-html": "^6.2.0",
"eslint-plugin-import": "^2.25.2", "eslint-plugin-import": "^2.25.2",
"eslint-plugin-json": "^3.1.0", "eslint-plugin-json": "^3.1.0",
"eslint-plugin-node": "^11.1.0", "eslint-plugin-node": "^11.1.0",
"eslint-plugin-promise": "^5.1.1", "eslint-plugin-promise": "^5.1.1",
"eslint": "8.1.0", "long": "4.0.0",
"long": "4",
"node-fetch": "^3.0.0", "node-fetch": "^3.0.0",
"rimraf": "^3.0.2", "rimraf": "^3.0.2",
"seedrandom": "^3.0.5", "seedrandom": "^3.0.5",
"tslib": "^2.3.1", "tslib": "^2.3.1",
"typedoc": "0.22.7", "typedoc": "0.22.7",
"typescript": "4.4.4" "typescript": "4.4.4"
},
"dependencies": {
} }
} }

244
src/config.ts
View File

@ -182,43 +182,46 @@ export interface GestureConfig {
*/ */
export interface Config { export interface Config {
/** Backend used for TFJS operations /** Backend used for TFJS operations
* Valid build-in backends are: * valid build-in backends are:
* - Browser: `cpu`, `wasm`, `webgl`, `humangl` * - Browser: `cpu`, `wasm`, `webgl`, `humangl`, `webgpu`
* - NodeJS: `cpu`, `wasm`, `tensorflow` * - NodeJS: `cpu`, `wasm`, `tensorflow`
* * default: `humangl` for browser and `tensorflow` for nodejs
* Experimental:
* - Browser: `webgpu` - requires custom build of `tfjs-backend-webgpu`
*
* Defaults: `humangl` for browser and `tensorflow` for nodejs
*/ */
backend: '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu', backend: '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu',
// backend: string;
/** Path to *.wasm files if backend is set to `wasm` /** Path to *.wasm files if backend is set to `wasm`
* - if not set, auto-detects to link to CDN `jsdelivr` when running in browser * default: auto-detects to link to CDN `jsdelivr` when running in browser
*/ */
wasmPath: string, wasmPath: string,
/** Print debug statements to console */ /** Print debug statements to console
* default: `true`
*/
debug: boolean, debug: boolean,
/** Perform model loading and inference concurrently or sequentially */ /** Perform model loading and inference concurrently or sequentially
* default: `true`
*/
async: boolean, async: boolean,
/** What to use for `human.warmup()` /** What to use for `human.warmup()`
* - warmup pre-initializes all models for faster inference but can take significant time on startup * - warmup pre-initializes all models for faster inference but can take significant time on startup
* - used by `webgl`, `humangl` and `webgpu` backends
* default: `full`
*/ */
warmup: 'none' | 'face' | 'full' | 'body', warmup: 'none' | 'face' | 'full' | 'body',
// warmup: string; // warmup: string;
/** Base model path (typically starting with file://, http:// or https://) for all models /** Base model path (typically starting with file://, http:// or https://) for all models
* - individual modelPath values are relative to this path * - individual modelPath values are relative to this path
* default: `../models/` for browsers and `file://models/` for nodejs
*/ */
modelBasePath: string, modelBasePath: string,
/** Cache sensitivity /** Cache sensitivity
* - values 0..1 where 0.01 means reset cache if input changed more than 1% * - values 0..1 where 0.01 means reset cache if input changed more than 1%
* - set to 0 to disable caching * - set to 0 to disable caching
* default: 0.7
*/ */
cacheSensitivity: number; cacheSensitivity: number;
@ -247,185 +250,120 @@ export interface Config {
segmentation: Partial<SegmentationConfig>, segmentation: Partial<SegmentationConfig>,
} }
/** - [See all default Config values...](https://github.com/vladmandic/human/blob/main/src/config.ts#L250) */ /** - [See all default Config values...](https://github.com/vladmandic/human/blob/main/src/config.ts#L253) */
const config: Config = { const config: Config = {
backend: '', // select tfjs backend to use, leave empty to use default backend backend: '',
// for browser environments: 'webgl', 'wasm', 'cpu', or 'humangl' (which is a custom version of webgl) modelBasePath: '',
// for nodejs environments: 'tensorflow', 'wasm', 'cpu' wasmPath: '',
// default set to `humangl` for browsers and `tensorflow` for nodejs debug: true,
modelBasePath: '', // base path for all models async: true,
// default set to `../models/` for browsers and `file://models/` for nodejs warmup: 'full',
wasmPath: '', // path for wasm binaries, only used for backend: wasm cacheSensitivity: 0.70,
// default set to download from jsdeliv during Human class instantiation skipAllowed: false,
debug: true, // print additional status messages to console filter: {
async: true, // execute enabled models in parallel enabled: true,
warmup: 'full', // what to use for human.warmup(), can be 'none', 'face', 'full' width: 0,
// warmup pre-initializes all models for faster inference but can take height: 0,
// significant time on startup flip: false,
// only used for `webgl` and `humangl` backends return: true,
cacheSensitivity: 0.70, // cache sensitivity brightness: 0,
// values 0..1 where 0.01 means reset cache if input changed more than 1% contrast: 0,
// set to 0 to disable caching sharpness: 0,
skipAllowed: false, // internal & dynamic blur: 0,
filter: { // run input through image filters before inference saturation: 0,
// image filters run with near-zero latency as they are executed on the GPU hue: 0,
enabled: true, // enable image pre-processing filters negative: false,
width: 0, // resize input width sepia: false,
height: 0, // resize input height vintage: false,
// if both width and height are set to 0, there is no resizing kodachrome: false,
// if just one is set, second one is scaled automatically technicolor: false,
// if both are set, values are used as-is polaroid: false,
flip: false, // flip input as mirror image pixelate: 0,
return: true, // return processed canvas imagedata in result
brightness: 0, // range: -1 (darken) to 1 (lighten)
contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)
sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)
blur: 0, // range: 0 (no blur) to N (blur radius in pixels)
saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)
hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)
negative: false, // image negative
sepia: false, // image sepia colors
vintage: false, // image vintage colors
kodachrome: false, // image kodachrome colors
technicolor: false, // image technicolor colors
polaroid: false, // image polaroid camera effect
pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)
}, },
gesture: { gesture: {
enabled: true, // enable gesture recognition based on model results enabled: true,
}, },
face: { face: {
enabled: true, // controls if specified modul is enabled enabled: true,
// face.enabled is required for all face models:
// detector, mesh, iris, age, gender, emotion
// (note: module is not loaded until it is required)
detector: { detector: {
modelPath: 'blazeface.json', // detector model, can be absolute path or relative to modelBasePath modelPath: 'blazeface.json',
rotation: true, // use best-guess rotated face image or just box with rotation as-is rotation: true,
// false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees maxDetected: 1,
// this parameter is not valid in nodejs skipFrames: 99,
maxDetected: 1, // maximum number of faces detected in the input skipTime: 2500,
// should be set to the minimum number for performance minConfidence: 0.2,
skipFrames: 99, // how many max frames to go without re-running the face bounding box detector iouThreshold: 0.1,
// only used when cacheSensitivity is not zero return: false,
skipTime: 2500, // how many ms to go without re-running the face bounding box detector
// only used when cacheSensitivity is not zero
minConfidence: 0.2, // threshold for discarding a prediction
iouThreshold: 0.1, // ammount of overlap between two detected objects before one object is removed
return: false, // return extracted face as tensor
// in which case user is reponsible for disposing the tensor
}, },
mesh: { mesh: {
enabled: true, enabled: true,
modelPath: 'facemesh.json', // facemesh model, can be absolute path or relative to modelBasePath modelPath: 'facemesh.json',
}, },
iris: { iris: {
enabled: true, enabled: true,
modelPath: 'iris.json', // face iris model modelPath: 'iris.json',
// can be either absolute path or relative to modelBasePath
}, },
emotion: { emotion: {
enabled: true, enabled: true,
minConfidence: 0.1, // threshold for discarding a prediction minConfidence: 0.1,
skipFrames: 99, // how max many frames to go without re-running the detector skipFrames: 99,
// only used when cacheSensitivity is not zero skipTime: 1500,
skipTime: 1500, // how many ms to go without re-running the face bounding box detector modelPath: 'emotion.json',
// only used when cacheSensitivity is not zero
modelPath: 'emotion.json', // face emotion model, can be absolute path or relative to modelBasePath
}, },
description: { description: {
enabled: true, // to improve accuracy of face description extraction it is enabled: true,
// recommended to enable detector.rotation and mesh.enabled modelPath: 'faceres.json',
modelPath: 'faceres.json', // face description model skipFrames: 99,
// can be either absolute path or relative to modelBasePath skipTime: 3000,
skipFrames: 99, // how many max frames to go without re-running the detector minConfidence: 0.1,
// only used when cacheSensitivity is not zero
skipTime: 3000, // how many ms to go without re-running the face bounding box detector
// only used when cacheSensitivity is not zero
minConfidence: 0.1, // threshold for discarding a prediction
}, },
antispoof: { antispoof: {
enabled: false, enabled: false,
skipFrames: 99, // how max many frames to go without re-running the detector skipFrames: 99,
// only used when cacheSensitivity is not zero skipTime: 4000,
skipTime: 4000, // how many ms to go without re-running the face bounding box detector modelPath: 'antispoof.json',
// only used when cacheSensitivity is not zero
modelPath: 'antispoof.json', // face description model
// can be either absolute path or relative to modelBasePath
}, },
}, },
body: { body: {
enabled: true, enabled: true,
modelPath: 'movenet-lightning.json', // body model, can be absolute path or relative to modelBasePath modelPath: 'movenet-lightning.json',
// can be 'posenet', 'blazepose', 'efficientpose', 'movenet-lightning', 'movenet-thunder'
detector: { detector: {
modelPath: '', // optional body detector modelPath: '',
}, },
maxDetected: -1, // maximum number of people detected in the input maxDetected: -1,
// should be set to the minimum number for performance minConfidence: 0.3,
// only valid for posenet and movenet-multipose as other models detects single pose skipFrames: 1,
// set to -1 to autodetect based on number of detected faces skipTime: 200,
minConfidence: 0.3, // threshold for discarding a prediction },
skipFrames: 1, // how many max frames to go without re-running the detector
// only used when cacheSensitivity is not zero
skipTime: 200, // how many ms to go without re-running the face bounding box detector
// only used when cacheSensitivity is not zero
},
hand: { hand: {
enabled: true, enabled: true,
rotation: true, // use best-guess rotated hand image or just box with rotation as-is rotation: true,
// false means higher performance, but incorrect finger mapping if hand is inverted skipFrames: 99,
// only valid for `handdetect` variation skipTime: 2000,
skipFrames: 99, // how many max frames to go without re-running the hand bounding box detector minConfidence: 0.50,
// only used when cacheSensitivity is not zero iouThreshold: 0.2,
skipTime: 2000, // how many ms to go without re-running the face bounding box detector maxDetected: -1,
// only used when cacheSensitivity is not zero landmarks: true,
minConfidence: 0.50, // threshold for discarding a prediction
iouThreshold: 0.2, // ammount of overlap between two detected objects before one object is removed
maxDetected: -1, // maximum number of hands detected in the input
// should be set to the minimum number for performance
// set to -1 to autodetect based on number of detected faces
landmarks: true, // detect hand landmarks or just hand boundary box
detector: { detector: {
modelPath: 'handtrack.json', // hand detector model, can be absolute path or relative to modelBasePath modelPath: 'handtrack.json',
// can be 'handdetect' or 'handtrack'
}, },
skeleton: { skeleton: {
modelPath: 'handskeleton.json', // hand skeleton model, can be absolute path or relative to modelBasePath modelPath: 'handskeleton.json',
}, },
}, },
object: { object: {
enabled: false, enabled: false,
modelPath: 'mb3-centernet.json', // experimental: object detection model, can be absolute path or relative to modelBasePath modelPath: 'mb3-centernet.json',
// can be 'mb3-centernet' or 'nanodet' minConfidence: 0.2,
minConfidence: 0.2, // threshold for discarding a prediction iouThreshold: 0.4,
iouThreshold: 0.4, // ammount of overlap between two detected objects before one object is removed maxDetected: 10,
maxDetected: 10, // maximum number of objects detected in the input skipFrames: 99,
skipFrames: 99, // how many max frames to go without re-running the detector skipTime: 1000,
// only used when cacheSensitivity is not zero
skipTime: 1000, // how many ms to go without re-running object detector
// only used when cacheSensitivity is not zero
}, },
segmentation: { segmentation: {
enabled: false, // controlls and configures all body segmentation module enabled: false,
// removes background from input containing person modelPath: 'selfie.json',
// if segmentation is enabled it will run as preprocessing task before any other model blur: 8,
// alternatively leave it disabled and use it on-demand using human.segmentation method which can
// remove background or replace it with user-provided background
modelPath: 'selfie.json', // experimental: object detection model, can be absolute path or relative to modelBasePath
// can be 'selfie' or 'meet'
blur: 8, // blur segmentation output by n pixels for more realistic image
}, },
}; };

54
test/build.log
View File

@ -1,27 +1,27 @@
2021-10-28 14:20:49 INFO:  @vladmandic/human version 2.4.3 2021-10-29 15:45:44 INFO:  @vladmandic/human version 2.4.3
2021-10-28 14:20:49 INFO:  User: vlado Platform: linux Arch: x64 Node: v17.0.1 2021-10-29 15:45:44 INFO:  User: vlado Platform: linux Arch: x64 Node: v17.0.1
2021-10-28 14:20:49 INFO:  Application: {"name":"@vladmandic/human","version":"2.4.3"} 2021-10-29 15:45:44 INFO:  Application: {"name":"@vladmandic/human","version":"2.4.3"}
2021-10-28 14:20:49 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 2021-10-29 15:45:44 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
2021-10-28 14:20:49 INFO:  Toolchain: {"build":"0.6.3","esbuild":"0.13.10","typescript":"4.4.4","typedoc":"0.22.7","eslint":"8.1.0"} 2021-10-29 15:45:44 INFO:  Toolchain: {"build":"0.6.3","esbuild":"0.13.10","typescript":"4.4.4","typedoc":"0.22.7","eslint":"8.1.0"}
2021-10-28 14:20:49 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 2021-10-29 15:45:44 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
2021-10-28 14:20:49 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} 2021-10-29 15:45:44 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]}
2021-10-28 14:20:49 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":1275} 2021-10-29 15:45:44 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":1275}
2021-10-28 14:20:50 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":55,"inputBytes":525548,"outputBytes":432592} 2021-10-29 15:45:44 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":55,"inputBytes":516436,"outputBytes":432592}
2021-10-28 14:20:50 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1283} 2021-10-29 15:45:44 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1283}
2021-10-28 14:20:50 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":55,"inputBytes":525556,"outputBytes":432596} 2021-10-29 15:45:44 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":55,"inputBytes":516444,"outputBytes":432596}
2021-10-28 14:20:50 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":1350} 2021-10-29 15:45:44 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":1350}
2021-10-28 14:20:50 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":55,"inputBytes":525623,"outputBytes":432668} 2021-10-29 15:45:44 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":55,"inputBytes":516511,"outputBytes":432668}
2021-10-28 14:20:50 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1063,"outputBytes":1652} 2021-10-29 15:45:44 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1063,"outputBytes":1652}
2021-10-28 14:20:50 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2323,"outputBytes":973} 2021-10-29 15:45:44 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2323,"outputBytes":973}
2021-10-28 14:20:50 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":55,"inputBytes":525246,"outputBytes":434523} 2021-10-29 15:45:44 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":55,"inputBytes":516134,"outputBytes":434523}
2021-10-28 14:20:51 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":8,"inputBytes":2323,"outputBytes":2416255} 2021-10-29 15:45:45 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":8,"inputBytes":2323,"outputBytes":2416255}
2021-10-28 14:20:51 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":55,"inputBytes":2940528,"outputBytes":1431218} 2021-10-29 15:45:45 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":55,"inputBytes":2931416,"outputBytes":1431218}
2021-10-28 14:20:51 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":55,"inputBytes":2940528,"outputBytes":1431208} 2021-10-29 15:45:45 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":55,"inputBytes":2931416,"outputBytes":1431208}
2021-10-28 14:20:52 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2565346,"outputBytes":2500549} 2021-10-29 15:45:46 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2564098,"outputBytes":2499301}
2021-10-28 14:20:52 STATE: Compile: {"name":"human/browser/esm/custom","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.custom.esm.js","files":55,"inputBytes":3024822,"outputBytes":2937137} 2021-10-29 15:45:46 STATE: Compile: {"name":"human/browser/esm/custom","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.custom.esm.js","files":55,"inputBytes":3014462,"outputBytes":2935894}
2021-10-28 14:21:09 STATE: Typings: {"input":"src/human.ts","output":"types","files":96} 2021-10-29 15:46:03 STATE: Typings: {"input":"src/human.ts","output":"types","files":96}
2021-10-28 14:21:15 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":48,"generated":true} 2021-10-29 15:46:09 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":48,"generated":true}
2021-10-28 14:21:15 STATE: Compile: {"name":"demo/browser","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":3366,"outputBytes":3256} 2021-10-29 15:46:09 STATE: Compile: {"name":"demo/browser","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":3475,"outputBytes":3338}
2021-10-28 14:21:53 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":91,"errors":0,"warnings":0} 2021-10-29 15:46:49 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":91,"errors":0,"warnings":0}
2021-10-28 14:21:53 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 2021-10-29 15:46:49 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
2021-10-28 14:21:53 INFO:  Done... 2021-10-29 15:46:49 INFO:  Done...

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<!DOCTYPE html><html class="default no-js"><head><meta charSet="utf-8"/><meta http-equiv="x-ua-compatible" content="IE=edge"/><title>Config | @vladmandic/human - v2.4.3</title><meta name="description" content="Documentation for @vladmandic/human - v2.4.3"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="stylesheet" href="../assets/style.css"/><link rel="stylesheet" href="../assets/highlight.css"/><script async src="../assets/search.js" id="search-script"></script></head><body><script>document.body.classList.add(localStorage.getItem("tsd-theme") || "os")</script><header><div class="tsd-page-toolbar"><div class="container"><div class="table-wrap"><div class="table-cell" id="tsd-search" data-base=".."><div class="field"><label for="tsd-search-field" class="tsd-widget search no-caption">Search</label><input type="text" id="tsd-search-field"/></div><ul class="results"><li class="state loading">Preparing search index...</li><li class="state failure">The search index is not available</li></ul><a href="../index.html" class="title">@vladmandic/human - v2.4.3</a></div><div class="table-cell" id="tsd-widgets"><div id="tsd-filter"><a href="#" class="tsd-widget options no-caption" data-toggle="options">Options</a><div class="tsd-filter-group"><div class="tsd-select" id="tsd-filter-visibility"><span class="tsd-select-label">All</span><ul class="tsd-select-list"><li data-value="public">Public</li><li data-value="protected">Public/Protected</li><li data-value="private" class="selected">All</li></ul></div> <input type="checkbox" id="tsd-filter-inherited" checked/><label class="tsd-widget" for="tsd-filter-inherited">Inherited</label></div></div><a href="#" class="tsd-widget menu no-caption" data-toggle="menu">Menu</a></div></div></div></div><div class="tsd-page-title"><div class="container"><ul class="tsd-breadcrumb"><li><a href="../index.html">@vladmandic/human - v2.4.3</a></li><li><a href="Config.html">Config</a></li></ul><h1>Interface Config</h1></div></div></header><div class="container container-main"><div class="row"><div class="col-8 col-content"><section class="tsd-panel tsd-comment"><div class="tsd-comment tsd-typography"><div class="lead"> <!DOCTYPE html><html class="default no-js"><head><meta charSet="utf-8"/><meta http-equiv="x-ua-compatible" content="IE=edge"/><title>Config | @vladmandic/human - v2.4.3</title><meta name="description" content="Documentation for @vladmandic/human - v2.4.3"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="stylesheet" href="../assets/style.css"/><link rel="stylesheet" href="../assets/highlight.css"/><script async src="../assets/search.js" id="search-script"></script></head><body><script>document.body.classList.add(localStorage.getItem("tsd-theme") || "os")</script><header><div class="tsd-page-toolbar"><div class="container"><div class="table-wrap"><div class="table-cell" id="tsd-search" data-base=".."><div class="field"><label for="tsd-search-field" class="tsd-widget search no-caption">Search</label><input type="text" id="tsd-search-field"/></div><ul class="results"><li class="state loading">Preparing search index...</li><li class="state failure">The search index is not available</li></ul><a href="../index.html" class="title">@vladmandic/human - v2.4.3</a></div><div class="table-cell" id="tsd-widgets"><div id="tsd-filter"><a href="#" class="tsd-widget options no-caption" data-toggle="options">Options</a><div class="tsd-filter-group"><div class="tsd-select" id="tsd-filter-visibility"><span class="tsd-select-label">All</span><ul class="tsd-select-list"><li data-value="public">Public</li><li data-value="protected">Public/Protected</li><li data-value="private" class="selected">All</li></ul></div> <input type="checkbox" id="tsd-filter-inherited" checked/><label class="tsd-widget" for="tsd-filter-inherited">Inherited</label></div></div><a href="#" class="tsd-widget menu no-caption" data-toggle="menu">Menu</a></div></div></div></div><div class="tsd-page-title"><div class="container"><ul class="tsd-breadcrumb"><li><a href="../index.html">@vladmandic/human - v2.4.3</a></li><li><a href="Config.html">Config</a></li></ul><h1>Interface Config</h1></div></div></header><div class="container container-main"><div class="row"><div class="col-8 col-content"><section class="tsd-panel tsd-comment"><div class="tsd-comment tsd-typography"><div class="lead">
<p>Configuration interface definition for <strong>Human</strong> library</p> <p>Configuration interface definition for <strong>Human</strong> library</p>
</div><div><p>Contains all configurable parameters</p> </div><div><p>Contains all configurable parameters</p>
</div></div></section><section class="tsd-panel tsd-hierarchy"><h3>Hierarchy</h3><ul class="tsd-hierarchy"><li><span class="target">Config</span></li></ul></section><section class="tsd-panel-group tsd-index-group"><h2>Index</h2><section class="tsd-panel tsd-index-panel"><div class="tsd-index-content"><section class="tsd-index-section "><h3>Properties</h3><ul class="tsd-index-list"><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#async" class="tsd-kind-icon">async</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#backend" class="tsd-kind-icon">backend</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#body" class="tsd-kind-icon">body</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#cacheSensitivity" class="tsd-kind-icon">cache<wbr/>Sensitivity</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#debug" class="tsd-kind-icon">debug</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#face" class="tsd-kind-icon">face</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#filter" class="tsd-kind-icon">filter</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#gesture" class="tsd-kind-icon">gesture</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#hand" class="tsd-kind-icon">hand</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#modelBasePath" class="tsd-kind-icon">model<wbr/>Base<wbr/>Path</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#object" class="tsd-kind-icon">object</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#segmentation" class="tsd-kind-icon">segmentation</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#skipAllowed" class="tsd-kind-icon">skip<wbr/>Allowed</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#warmup" class="tsd-kind-icon">warmup</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#wasmPath" class="tsd-kind-icon">wasm<wbr/>Path</a></li></ul></section></div></section></section><section class="tsd-panel-group tsd-member-group "><h2>Properties</h2><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="async" class="tsd-anchor"></a><h3>async</h3><div class="tsd-signature tsd-kind-icon">async<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L206">src/config.ts:206</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-hierarchy"><h3>Hierarchy</h3><ul class="tsd-hierarchy"><li><span class="target">Config</span></li></ul></section><section class="tsd-panel-group tsd-index-group"><h2>Index</h2><section class="tsd-panel tsd-index-panel"><div class="tsd-index-content"><section class="tsd-index-section "><h3>Properties</h3><ul class="tsd-index-list"><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#async" class="tsd-kind-icon">async</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#backend" class="tsd-kind-icon">backend</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#body" class="tsd-kind-icon">body</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#cacheSensitivity" class="tsd-kind-icon">cache<wbr/>Sensitivity</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#debug" class="tsd-kind-icon">debug</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#face" class="tsd-kind-icon">face</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#filter" class="tsd-kind-icon">filter</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#gesture" class="tsd-kind-icon">gesture</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#hand" class="tsd-kind-icon">hand</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#modelBasePath" class="tsd-kind-icon">model<wbr/>Base<wbr/>Path</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#object" class="tsd-kind-icon">object</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#segmentation" class="tsd-kind-icon">segmentation</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#skipAllowed" class="tsd-kind-icon">skip<wbr/>Allowed</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#warmup" class="tsd-kind-icon">warmup</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#wasmPath" class="tsd-kind-icon">wasm<wbr/>Path</a></li></ul></section></div></section></section><section class="tsd-panel-group tsd-member-group "><h2>Properties</h2><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="async" class="tsd-anchor"></a><h3>async</h3><div class="tsd-signature tsd-kind-icon">async<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L205">src/config.ts:205</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Perform model loading and inference concurrently or sequentially</p> <p>Perform model loading and inference concurrently or sequentially
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="backend" class="tsd-anchor"></a><h3>backend</h3><div class="tsd-signature tsd-kind-icon">backend<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">&quot;&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;cpu&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;wasm&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;webgl&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;humangl&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;tensorflow&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;webgpu&quot;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L194">src/config.ts:194</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> default: <code>true</code></p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="backend" class="tsd-anchor"></a><h3>backend</h3><div class="tsd-signature tsd-kind-icon">backend<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">&quot;&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;cpu&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;wasm&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;webgl&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;humangl&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;tensorflow&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;webgpu&quot;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L190">src/config.ts:190</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Backend used for TFJS operations <p>Backend used for TFJS operations
Valid build-in backends are:</p> valid build-in backends are:</p>
<ul> <ul>
<li>Browser: <code>cpu</code>, <code>wasm</code>, <code>webgl</code>, <code>humangl</code></li> <li>Browser: <code>cpu</code>, <code>wasm</code>, <code>webgl</code>, <code>humangl</code>, <code>webgpu</code></li>
<li>NodeJS: <code>cpu</code>, <code>wasm</code>, <code>tensorflow</code></li> <li>NodeJS: <code>cpu</code>, <code>wasm</code>, <code>tensorflow</code>
default: <code>humangl</code> for browser and <code>tensorflow</code> for nodejs</li>
</ul> </ul>
</div><div><p>Experimental:</p> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="body" class="tsd-anchor"></a><h3>body</h3><div class="tsd-signature tsd-kind-icon">body<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="BodyConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">BodyConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L241">src/config.ts:241</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<ul>
<li>Browser: <code>webgpu</code> - requires custom build of <code>tfjs-backend-webgpu</code></li>
</ul>
<p>Defaults: <code>humangl</code> for browser and <code>tensorflow</code> for nodejs</p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="body" class="tsd-anchor"></a><h3>body</h3><div class="tsd-signature tsd-kind-icon">body<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="BodyConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">BodyConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L238">src/config.ts:238</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="BodyConfig.html">BodyConfig</a></p> <p><a href="BodyConfig.html">BodyConfig</a></p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="cacheSensitivity" class="tsd-anchor"></a><h3>cache<wbr/>Sensitivity</h3><div class="tsd-signature tsd-kind-icon">cache<wbr/>Sensitivity<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L223">src/config.ts:223</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="cacheSensitivity" class="tsd-anchor"></a><h3>cache<wbr/>Sensitivity</h3><div class="tsd-signature tsd-kind-icon">cache<wbr/>Sensitivity<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L226">src/config.ts:226</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Cache sensitivity</p> <p>Cache sensitivity</p>
<ul> <ul>
<li>values 0..1 where 0.01 means reset cache if input changed more than 1%</li> <li>values 0..1 where 0.01 means reset cache if input changed more than 1%</li>
<li>set to 0 to disable caching</li> <li>set to 0 to disable caching
default: 0.7</li>
</ul> </ul>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="debug" class="tsd-anchor"></a><h3>debug</h3><div class="tsd-signature tsd-kind-icon">debug<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L203">src/config.ts:203</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="debug" class="tsd-anchor"></a><h3>debug</h3><div class="tsd-signature tsd-kind-icon">debug<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L200">src/config.ts:200</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Print debug statements to console</p> <p>Print debug statements to console
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="face" class="tsd-anchor"></a><h3>face</h3><div class="tsd-signature tsd-kind-icon">face<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="FaceConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">FaceConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L235">src/config.ts:235</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> default: <code>true</code></p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="face" class="tsd-anchor"></a><h3>face</h3><div class="tsd-signature tsd-kind-icon">face<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="FaceConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">FaceConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L238">src/config.ts:238</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="FaceConfig.html">FaceConfig</a></p> <p><a href="FaceConfig.html">FaceConfig</a></p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="filter" class="tsd-anchor"></a><h3>filter</h3><div class="tsd-signature tsd-kind-icon">filter<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="FilterConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">FilterConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L229">src/config.ts:229</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="filter" class="tsd-anchor"></a><h3>filter</h3><div class="tsd-signature tsd-kind-icon">filter<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="FilterConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">FilterConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L232">src/config.ts:232</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="FilterConfig.html">FilterConfig</a></p> <p><a href="FilterConfig.html">FilterConfig</a></p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="gesture" class="tsd-anchor"></a><h3>gesture</h3><div class="tsd-signature tsd-kind-icon">gesture<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="GestureConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">GestureConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L232">src/config.ts:232</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="gesture" class="tsd-anchor"></a><h3>gesture</h3><div class="tsd-signature tsd-kind-icon">gesture<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="GestureConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">GestureConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L235">src/config.ts:235</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="GestureConfig.html">GestureConfig</a></p> <p><a href="GestureConfig.html">GestureConfig</a></p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="hand" class="tsd-anchor"></a><h3>hand</h3><div class="tsd-signature tsd-kind-icon">hand<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="HandConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">HandConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L241">src/config.ts:241</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="hand" class="tsd-anchor"></a><h3>hand</h3><div class="tsd-signature tsd-kind-icon">hand<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="HandConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">HandConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L244">src/config.ts:244</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="HandConfig.html">HandConfig</a></p> <p><a href="HandConfig.html">HandConfig</a></p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="modelBasePath" class="tsd-anchor"></a><h3>model<wbr/>Base<wbr/>Path</h3><div class="tsd-signature tsd-kind-icon">model<wbr/>Base<wbr/>Path<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L217">src/config.ts:217</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="modelBasePath" class="tsd-anchor"></a><h3>model<wbr/>Base<wbr/>Path</h3><div class="tsd-signature tsd-kind-icon">model<wbr/>Base<wbr/>Path<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L219">src/config.ts:219</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Base model path (typically starting with file://, http:// or https://) for all models</p> <p>Base model path (typically starting with file://, http:// or https://) for all models</p>
<ul> <ul>
<li>individual modelPath values are relative to this path</li> <li>individual modelPath values are relative to this path
default: <code>../models/</code> for browsers and <code>file://models/</code> for nodejs</li>
</ul> </ul>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="object" class="tsd-anchor"></a><h3>object</h3><div class="tsd-signature tsd-kind-icon">object<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="ObjectConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">ObjectConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L244">src/config.ts:244</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="object" class="tsd-anchor"></a><h3>object</h3><div class="tsd-signature tsd-kind-icon">object<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="ObjectConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">ObjectConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L247">src/config.ts:247</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="ObjectConfig.html">ObjectConfig</a></p> <p><a href="ObjectConfig.html">ObjectConfig</a></p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="segmentation" class="tsd-anchor"></a><h3>segmentation</h3><div class="tsd-signature tsd-kind-icon">segmentation<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="SegmentationConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">SegmentationConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L247">src/config.ts:247</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="segmentation" class="tsd-anchor"></a><h3>segmentation</h3><div class="tsd-signature tsd-kind-icon">segmentation<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="SegmentationConfig.html" class="tsd-signature-type" data-tsd-kind="Interface">SegmentationConfig</a><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L250">src/config.ts:250</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="SegmentationConfig.html">SegmentationConfig</a></p> <p><a href="SegmentationConfig.html">SegmentationConfig</a></p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="skipAllowed" class="tsd-anchor"></a><h3>skip<wbr/>Allowed</h3><div class="tsd-signature tsd-kind-icon">skip<wbr/>Allowed<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L226">src/config.ts:226</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="skipAllowed" class="tsd-anchor"></a><h3>skip<wbr/>Allowed</h3><div class="tsd-signature tsd-kind-icon">skip<wbr/>Allowed<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L229">src/config.ts:229</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Internal Variable</p> <p>Internal Variable</p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="warmup" class="tsd-anchor"></a><h3>warmup</h3><div class="tsd-signature tsd-kind-icon">warmup<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">&quot;face&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;body&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;none&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;full&quot;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L211">src/config.ts:211</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="warmup" class="tsd-anchor"></a><h3>warmup</h3><div class="tsd-signature tsd-kind-icon">warmup<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">&quot;face&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;body&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;none&quot;</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">&quot;full&quot;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L212">src/config.ts:212</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>What to use for <code>human.warmup()</code></p> <p>What to use for <code>human.warmup()</code></p>
<ul> <ul>
<li>warmup pre-initializes all models for faster inference but can take significant time on startup</li> <li>warmup pre-initializes all models for faster inference but can take significant time on startup</li>
<li>used by <code>webgl</code>, <code>humangl</code> and <code>webgpu</code> backends
default: <code>full</code></li>
</ul> </ul>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="wasmPath" class="tsd-anchor"></a><h3>wasm<wbr/>Path</h3><div class="tsd-signature tsd-kind-icon">wasm<wbr/>Path<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L200">src/config.ts:200</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a id="wasmPath" class="tsd-anchor"></a><h3>wasm<wbr/>Path</h3><div class="tsd-signature tsd-kind-icon">wasm<wbr/>Path<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L195">src/config.ts:195</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Path to *.wasm files if backend is set to <code>wasm</code></p> <p>Path to *.wasm files if backend is set to <code>wasm</code>
<ul> default: auto-detects to link to CDN <code>jsdelivr</code> when running in browser</p>
<li>if not set, auto-detects to link to CDN <code>jsdelivr</code> when running in browser</li>
</ul>
</div></div></section></section></div><div class="col-4 col-menu menu-sticky-wrap menu-highlight"><nav class="tsd-navigation primary"><ul><li class=""><a href="../index.html">Exports</a></li><li class=" tsd-kind-namespace"><a href="../modules/Tensor.html">Tensor</a></li></ul></nav><nav class="tsd-navigation secondary menu-sticky"><ul><li class="current tsd-kind-interface"><a href="Config.html" class="tsd-kind-icon">Config</a><ul><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#async" class="tsd-kind-icon">async</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#backend" class="tsd-kind-icon">backend</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#body" class="tsd-kind-icon">body</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#cacheSensitivity" class="tsd-kind-icon">cache<wbr/>Sensitivity</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#debug" class="tsd-kind-icon">debug</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#face" class="tsd-kind-icon">face</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#filter" class="tsd-kind-icon">filter</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#gesture" class="tsd-kind-icon">gesture</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#hand" class="tsd-kind-icon">hand</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#modelBasePath" class="tsd-kind-icon">model<wbr/>Base<wbr/>Path</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#object" class="tsd-kind-icon">object</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#segmentation" class="tsd-kind-icon">segmentation</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#skipAllowed" class="tsd-kind-icon">skip<wbr/>Allowed</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#warmup" class="tsd-kind-icon">warmup</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#wasmPath" class="tsd-kind-icon">wasm<wbr/>Path</a></li></ul></li></ul></nav></div></div></div><footer class=""><div class="container"><h2>Legend</h2><div class="tsd-legend-group"><ul class="tsd-legend"><li class="tsd-kind-constructor tsd-parent-kind-class"><span class="tsd-kind-icon">Constructor</span></li><li class="tsd-kind-property tsd-parent-kind-class"><span class="tsd-kind-icon">Property</span></li><li class="tsd-kind-method tsd-parent-kind-class"><span class="tsd-kind-icon">Method</span></li></ul><ul class="tsd-legend"><li class="tsd-kind-property tsd-parent-kind-interface"><span class="tsd-kind-icon">Property</span></li></ul></div><h2>Settings</h2><p>Theme <select id="theme"><option value="os">OS</option><option value="light">Light</option><option value="dark">Dark</option></select></p></div></footer><div class="overlay"></div><script src="../assets/main.js"></script></body></html> </div></div></section></section></div><div class="col-4 col-menu menu-sticky-wrap menu-highlight"><nav class="tsd-navigation primary"><ul><li class=""><a href="../index.html">Exports</a></li><li class=" tsd-kind-namespace"><a href="../modules/Tensor.html">Tensor</a></li></ul></nav><nav class="tsd-navigation secondary menu-sticky"><ul><li class="current tsd-kind-interface"><a href="Config.html" class="tsd-kind-icon">Config</a><ul><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#async" class="tsd-kind-icon">async</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#backend" class="tsd-kind-icon">backend</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#body" class="tsd-kind-icon">body</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#cacheSensitivity" class="tsd-kind-icon">cache<wbr/>Sensitivity</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#debug" class="tsd-kind-icon">debug</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#face" class="tsd-kind-icon">face</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#filter" class="tsd-kind-icon">filter</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#gesture" class="tsd-kind-icon">gesture</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#hand" class="tsd-kind-icon">hand</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#modelBasePath" class="tsd-kind-icon">model<wbr/>Base<wbr/>Path</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#object" class="tsd-kind-icon">object</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#segmentation" class="tsd-kind-icon">segmentation</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#skipAllowed" class="tsd-kind-icon">skip<wbr/>Allowed</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#warmup" class="tsd-kind-icon">warmup</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Config.html#wasmPath" class="tsd-kind-icon">wasm<wbr/>Path</a></li></ul></li></ul></nav></div></div></div><footer class=""><div class="container"><h2>Legend</h2><div class="tsd-legend-group"><ul class="tsd-legend"><li class="tsd-kind-constructor tsd-parent-kind-class"><span class="tsd-kind-icon">Constructor</span></li><li class="tsd-kind-property tsd-parent-kind-class"><span class="tsd-kind-icon">Property</span></li><li class="tsd-kind-method tsd-parent-kind-class"><span class="tsd-kind-icon">Method</span></li></ul><ul class="tsd-legend"><li class="tsd-kind-property tsd-parent-kind-interface"><span class="tsd-kind-icon">Property</span></li></ul></div><h2>Settings</h2><p>Theme <select id="theme"><option value="os">OS</option><option value="light">Light</option><option value="dark">Dark</option></select></p></div></footer><div class="overlay"></div><script src="../assets/main.js"></script></body></html>

3
types/dist/tfjs.esm.d.ts vendored
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@ -1786,6 +1786,7 @@ export function broadcastArgs(...args: any[]): any;
export namespace broadcastArgs { } export namespace broadcastArgs { }
export function broadcastTo(...args: any[]): any; export function broadcastTo(...args: any[]): any;
export namespace broadcastTo { } export namespace broadcastTo { }
declare var broadcast_util_exports: {};
declare var browser_exports: {}; declare var browser_exports: {};
export function buffer(shape: any, dtype: string | undefined, values: any): { export function buffer(shape: any, dtype: string | undefined, values: any): {
dtype: any; dtype: any;
@ -2636,5 +2637,5 @@ declare function stringSplit(...args: any[]): any;
declare namespace stringSplit { } declare namespace stringSplit { }
declare function stringToHashBucketFast(...args: any[]): any; declare function stringToHashBucketFast(...args: any[]): any;
declare namespace stringToHashBucketFast { } declare namespace stringToHashBucketFast { }
export { add2 as add, backend_util_exports as backend_util, browser_exports as browser, exports_constraints_exports as constraints, src_exports as data, device_util_exports as device_util, fused_ops_exports as fused, gather_nd_util_exports as gather_util, gpgpu_util_exports as gpgpu_util, exports_initializers_exports as initializers, io_exports as io, isFinite2 as isFinite, isNaN2 as isNaN, kernel_impls_exports as kernel_impls, exports_layers_exports as layers, log4 as log, math_exports as math, exports_metrics_exports as metrics, exports_models_exports as models, ones2 as ones, print2 as print, exports_regularizers_exports as regularizers, round2 as round, scatter_nd_util_exports as scatter_util, serialization_exports as serialization, shared_exports as shared, slice_util_exports as slice_util, sum2 as sum, tanh2 as tanh, tensor_util_exports as tensor_util, test_util_exports as test_util, util_exports as util, version8 as version, version3 as version_converter, version5 as version_cpu, version2 as version_layers, version7 as version_wasm, version6 as version_webgl, webgl_util_exports as webgl_util, webgpu_exports as webgpu }; export { add2 as add, backend_util_exports as backend_util, broadcast_util_exports as broadcast_util, browser_exports as browser, exports_constraints_exports as constraints, src_exports as data, device_util_exports as device_util, fused_ops_exports as fused, gather_nd_util_exports as gather_util, gpgpu_util_exports as gpgpu_util, exports_initializers_exports as initializers, io_exports as io, isFinite2 as isFinite, isNaN2 as isNaN, kernel_impls_exports as kernel_impls, exports_layers_exports as layers, log4 as log, math_exports as math, exports_metrics_exports as metrics, exports_models_exports as models, ones2 as ones, print2 as print, exports_regularizers_exports as regularizers, round2 as round, scatter_nd_util_exports as scatter_util, serialization_exports as serialization, shared_exports as shared, slice_util_exports as slice_util, sum2 as sum, tanh2 as tanh, tensor_util_exports as tensor_util, test_util_exports as test_util, util_exports as util, version8 as version, version3 as version_converter, version5 as version_cpu, version2 as version_layers, version7 as version_wasm, version6 as version_webgl, webgl_util_exports as webgl_util, webgpu_exports as webgpu };
//# sourceMappingURL=tfjs.esm.d.ts.map //# sourceMappingURL=tfjs.esm.d.ts.map

2
types/dist/tfjs.esm.d.ts.map vendored
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26
types/src/config.d.ts vendored
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@ -168,35 +168,39 @@ export interface GestureConfig {
*/ */
export interface Config { export interface Config {
/** Backend used for TFJS operations /** Backend used for TFJS operations
* Valid build-in backends are: * valid build-in backends are:
* - Browser: `cpu`, `wasm`, `webgl`, `humangl` * - Browser: `cpu`, `wasm`, `webgl`, `humangl`, `webgpu`
* - NodeJS: `cpu`, `wasm`, `tensorflow` * - NodeJS: `cpu`, `wasm`, `tensorflow`
* * default: `humangl` for browser and `tensorflow` for nodejs
* Experimental:
* - Browser: `webgpu` - requires custom build of `tfjs-backend-webgpu`
*
* Defaults: `humangl` for browser and `tensorflow` for nodejs
*/ */
backend: '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu'; backend: '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu';
/** Path to *.wasm files if backend is set to `wasm` /** Path to *.wasm files if backend is set to `wasm`
* - if not set, auto-detects to link to CDN `jsdelivr` when running in browser * default: auto-detects to link to CDN `jsdelivr` when running in browser
*/ */
wasmPath: string; wasmPath: string;
/** Print debug statements to console */ /** Print debug statements to console
* default: `true`
*/
debug: boolean; debug: boolean;
/** Perform model loading and inference concurrently or sequentially */ /** Perform model loading and inference concurrently or sequentially
* default: `true`
*/
async: boolean; async: boolean;
/** What to use for `human.warmup()` /** What to use for `human.warmup()`
* - warmup pre-initializes all models for faster inference but can take significant time on startup * - warmup pre-initializes all models for faster inference but can take significant time on startup
* - used by `webgl`, `humangl` and `webgpu` backends
* default: `full`
*/ */
warmup: 'none' | 'face' | 'full' | 'body'; warmup: 'none' | 'face' | 'full' | 'body';
/** Base model path (typically starting with file://, http:// or https://) for all models /** Base model path (typically starting with file://, http:// or https://) for all models
* - individual modelPath values are relative to this path * - individual modelPath values are relative to this path
* default: `../models/` for browsers and `file://models/` for nodejs
*/ */
modelBasePath: string; modelBasePath: string;
/** Cache sensitivity /** Cache sensitivity
* - values 0..1 where 0.01 means reset cache if input changed more than 1% * - values 0..1 where 0.01 means reset cache if input changed more than 1%
* - set to 0 to disable caching * - set to 0 to disable caching
* default: 0.7
*/ */
cacheSensitivity: number; cacheSensitivity: number;
/** Internal Variable */ /** Internal Variable */
@ -216,7 +220,7 @@ export interface Config {
/** {@link SegmentationConfig} */ /** {@link SegmentationConfig} */
segmentation: Partial<SegmentationConfig>; segmentation: Partial<SegmentationConfig>;
} }
/** - [See all default Config values...](https://github.com/vladmandic/human/blob/main/src/config.ts#L250) */ /** - [See all default Config values...](https://github.com/vladmandic/human/blob/main/src/config.ts#L253) */
declare const config: Config; declare const config: Config;
export { config as defaults }; export { config as defaults };
//# sourceMappingURL=config.d.ts.map //# sourceMappingURL=config.d.ts.map

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@ -1 +1 @@
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Subproject commit 5e874c076123f1c2b2821b1c37f6005e775465aa Subproject commit 5e89af1004860ea9f302e516699b5e0b4e0a825f